In 2021, the rapid advancement of technology, particularly in Artificial Intelligence (AI) and Machine Learning (ML), has become crucial for organizations striving to meet customer demands and adapt to new market realities. The COVID-19 pandemic highlighted the importance of digital transformation, prompting companies to prioritize AI and ML to reduce costs and enhance customer experiences. The emergence of no-code AI platforms has democratized data science, enabling businesses to leverage AI without specialized skills, though challenges remain in deploying complex workflows. A significant portion of data scientists' time is spent on deploying models, with 85% of Big Data projects facing deployment challenges. While some organizations build and maintain AI systems in-house, others are increasingly adopting third-party and no-code solutions to reduce costs and deployment times. These solutions, like Datagran, offer the flexibility to integrate with existing infrastructures and facilitate faster model deployment, as demonstrated by companies like Domino's, Telefonica, and Starbucks.